Natural Language Processing Basics

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. It involves the ability of machines to understand, interpret, and generate human language.

What is NLP Used For?

• Information Retrieval: Finding relevant information from a large collection of text documents.
• Machine Translation: Automatically translating text from one language to another.
• Sentiment Analysis: Determining the sentiment of a piece of text, such as whether a review is positive or negative.
• Chatbots and Virtual Assistants: Automating customer service interactions.
• Summarization: Creating a concise summary of a longer text.

Common NLP Tasks

• Tokenization: Splitting text into words, sentences, or other meaningful elements.
• Part-of-Speech Tagging: Identifying the parts of speech for each word in a sentence.
• Named Entity Recognition (NER): Identifying and classifying named entities in text, such as person names, organizations, and locations.
• Sentiment Analysis: Determining the sentiment of a piece of text.
• Machine Translation: Automatically translating text from one language to another.

Resources

For more information on NLP, check out our comprehensive guide on Natural Language Processing.

NLP Diagram